Senior Data Engineer

First Citizens

Raleigh, NC, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

firstcitizens.com

Tech stack

Airflow Amazon Web Services Business Analytics Applications Microsoft Azure Batch Processing Big Data Information Systems Data Architecture Data Governance Extract Transform Load (ETL) Data Systems IBM InfoSphere DataStage

+21 more

Apache Hadoop Monitoring of Systems Machine Learning Performance Tuning Power BI Cloud Services Software Engineering SQL Server Integration Services Data Streaming Tableau (Software) Google Cloud Real Time Systems Snowflake Apache Spark Sap Business Objects Data Strategy Information Technology Data Analytics Data Management Machine Learning Operations Data Pipelines

Job description

This position is responsible for architecting, implementing, and optimizing complex data solutions. This role leads to the development of sophisticated data pipelines, warehouses, and analytics platforms while mentoring junior team members and collaborating with stakeholders to drive data-driven decision-making Responsibilities

Data Architecture and Strategy - Design and implement scalable, efficient data architecture. Lead the development of data strategy aligned with business objectives. Evaluate and integrate new technologies to enhance data capabilities
Advanced Data Pipeline Development - Architect and implement complex data pipelines for real-time and batch processing. Optimize data flows for high-volume, high-velocity data environments. Develop advanced ETL processes for diverse data sources.
Data Governance and Quality Management - Establish and enforce data governance policies and best practices. Implement data quality frameworks and monitoring systems. Ensure compliance with data regulations and standards
Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot complex data issues and implement robust solutions
Mentorship and Knowledge Sharing - Mentor junior data engineers and provide technical guidance. Contribute to the development of best practices and standards. Collaborate with cross-functional teams to drive data literacy

Requirements

Bachelor’s Degree and 4 years of experience in Software application development and maintenance OR High School Diploma or GED and 8 years of experience in Software application development and maintenance

Preferred Area of Study: Computer Science, Information Systems, Data Science, or related field Preferred Area of Experience: Machine learning operations, data science ,Advanced data modeling and architecture, ETL processes and tools (e.g., DBTran, IICS, DataStage, SSIS, Apache Spark, Airflow, BODS), Big data technologies (e.g., Snowflake, Hadoop, Spark) (Expert, Required), Cloud data platforms (e.g., AWS, Azure, GCP) , Data streaming and real-time processing , Machine learning integration, BI and Data analytics ( e.g : BO , Tableau , Power BI )